Data Annotation & Data Labelling

Zensar’s interview process typically starts with an online aptitude test covering quantitative, logical and verbal sections. Shortlisted candidates then face a technical round where they may be asked to perform a small annotation task or solve basic Python scripts. The final HR round assesses communication skills, availability for remote work and cultural fit. Overall difficulty is moderate; thorough practice of data‑labeling tools and aptitude questions helps candidates succeed.

Zensar promotes a collaborative and inclusive work environment where learning is encouraged through regular hackathons, internal training labs and mentorship programs. Employees enjoy a balanced work‑life rhythm with flexible remote options, clear career ladders and opportunities to work on cutting‑edge digital projects for global clients.

Graduates (any discipline). Must possess a personal laptop and stable internet connection. Good command of English (both written and spoken) is required. Preference for candidates with prior exposure to data annotation, image/video handling or basic programming knowledge.

Round 1: Online aptitude test (logical reasoning, quantitative & verbal) → Round 2: Technical assessment (annotation task & basic Python) → Round 3: HR interview (fitment, availability and work‑from‑home setup)

Zensar Technologies is a global digital solutions and technology services firm that partners with enterprises across banking, healthcare, manufacturing, retail and many other sectors. A subsidiary of the RPG Group, Zensar has its headquarters in Pune, India and a strong international presence with delivery centers in the United States, United Kingdom, Mexico, South Africa and several other countries. The company is known for its focus on digital transformation, cloud migration, data engineering and AI‑driven solutions, helping clients modernise legacy systems and build future‑ready platforms. Over the past decade Zensar has consistently been recognised for its employee‑centric policies, robust learning ecosystem and a culture that encourages innovation and continuous upskilling. The role of Data Annotation & Data Labelling at Zensar is a short‑term, work‑from‑home assignment designed to support the company’s AI and machine‑learning initiatives. Candidates will be responsible for preparing high‑quality labelled datasets that power computer‑vision, natural‑language‑processing and speech‑recognition models. The assignment runs for two months starting 1st September 2026, with a stipend of INR 50,000 per month. As a remote contractor, you will use your personal laptop and internet connection to access annotation tools, follow standard operating procedures, and deliver annotated data within stipulated timelines. Key Responsibilities: 1. Review raw data (images, videos, text, audio) and understand annotation guidelines. 2. Perform accurate labelling using tools such as CVAT, Labelbox or custom in‑house platforms. 3. Ensure consistency and quality by cross‑checking annotations against reference standards. 4. Report ambiguities or edge cases to the project lead for clarification. 5. Maintain detailed logs of work progress and any issues encountered. 6. Meet daily and weekly productivity targets while adhering to data‑privacy policies. 7. Participate in periodic quality‑assurance reviews and incorporate feedback. 8. Collaborate with remote team members through Slack/Teams for seamless communication. 9. Contribute suggestions for improving annotation workflows and tool usability. 10. Complete final data delivery in the required format (JSON, CSV, XML) before project deadline. Tech Stack & Tools: Annotation platforms (CVAT, Labelbox), basic scripting (Python for bulk operations), version‑control (Git), cloud storage (AWS S3, Azure Blob), and productivity suites (MS Office, Google Workspace). Growth Path: While this is a contract role, high performers may be considered for longer‑term opportunities in data engineering, AI model training or quality assurance within Zensar’s AI practice. The experience provides a solid foundation for careers in data science, machine‑learning engineering and related fields. Why Join Zensar? Zensar offers a structured onboarding process, mentorship from senior AI professionals, and exposure to real‑world AI projects for leading global brands. The remote setup gives flexibility, while the stipend ensures financial support during the assignment. Successful candidates gain hands‑on experience with industry‑standard annotation tools, enhancing their resume for future data‑centric roles.